Verification of the Two Stage PSO Algorithm for Induction Motor Parameter Identification with Offline Frequency Converter Identification Procedure

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 185-188)

АУТОР(И) / AUTHOR(S): Jovan Vukašinović , Nebojša Mitrović , Saša Štatkić , Bojan Banković , Filip Filipović

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DOI:  10.46793/SAUM24.185V

САЖЕТАК / ABSTRACT:

In this paper, experimental verification of the numerical optimization method two-stage PSO algorithm (TSPSO) for parameter identification of a cage induction motor using nominal motor data related to direct grid supply was performed. The TSPSO algorithm consists of two stages: the first stage estimates parameters for the rated operating mode, while the second stage estimates rotor parameters during motor startup. The TSPSO algorithm indirectly applies an approximation of the rotor parameter change as a function of speed to consider the influence of the skin effect at motor start-up and achieves the connection between the two stages. For the proper operation of control algorithms in frequency converters, knowledge of the parameters of the induction motor is necessary. Regulated electric drives use induction motors and frequency converters from various manufacturers. For this reason, different procedures for motor parameter identification are applied, which are integrated into the frequency converters. In this study, an experimental method was used for parameter identification of the cage induction motor based on the application of an offline procedure in a frequency converter for the identification of parameters of the cage induction motor in a standstill state. In this paper, independent parameter identification of the cage induction motor with the same nominal data was performed using two different methods. The results obtained show a certain level of agreement in the parameter values of the equivalent circuit, thereby experimentally verifying the numerical TSPSO algorithm.

КЉУЧНЕ РЕЧИ / KEYWORDS:

parameter identification, induction motor, particle swarm optimization, two-stage optimization, offline parameter identification

ПРОЈЕКАТ/ ACKNOWLEDGEMENT:

This work was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia [grant number 451-03-65/2024-03/200155].

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